全球航空產業碳排放權配置的探討

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姓名

蕭暐昕(Wei-Hsin Hsiao) 查詢紙本館藏

畢業系所

土木工程學系

論文名稱

全球航空產業碳排放權配置的探討

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至系統瀏覽論文 (2025-8-31以後開放)

摘要(中)

本研究針對2018年20間航空公司為研究對象，透過納許均衡資料包絡分析法(Nash DEA)及納許均衡隨機半無母數資料包絡法(Nash StoNED)建構碳排放權配置(allocation of carbon permit, ACP)模型並與集中化資料包絡分析法(centralized DEA) Feng (2015)進行比較。結果顯示，納許均衡資料包絡分析法及納許均衡隨機半無母數資料包絡法有考慮到期望產出的內生價格，因此這兩種模型的碳排放配置量變動幅度較大，就長遠來看，政府方可達到所預定的總減碳目標，公司方可以確保在自身最大收益的情況下接受碳排放配置的結果。集中化資料包絡分析法則是碳排放配置量變動幅度較小，公司較容易配合政府政策，可視為短期政策來執行。

摘要(英)

To conduct allocation of carbon permit model based on 20 airlines in 2018, the research apply Nash equilibrium data envelopment analysis and Nash equilibrium stochastic semi-nonparametric envelopment of data. And compare with the centralized data envelopment analysis Feng(2015).The results show that both Nash DEA and Nash StoNED ACP model consider the endogenous price, and lead to the quantity of ACP of these two model’s variance are larger than centralized DEA.DEA. Consequently, the allocation outcome by using Nash DEA and Nash StoNED can be seen as a long - term policy which can simultaneously make sure the optimal benefit itself and achieve the goal of carbon emitting set by government. On the contrary, centralized DEA can be seen as a short-term policy that the companies can execute easily due to the smaller variance.

關鍵字(中)

★ 納許均衡資料包絡分析法(Nash DEA)
★ 納許均衡隨機半無母數資料包絡法(Nash StoNED)
★ 非期望產出
★ 非完全競爭市場
★ 碳排放權配置(ACP)

關鍵字(英)

★ Nash equilibrium data envelopment analysis
★ Nash equilibrium stochastic semi-nonparametric envelopment of data
★ undesirable output
★ imperfectly competitive market
★ allocation of carbon permit

論文目次

目錄
中文摘要 i
Abstract ii
致謝 iii
圖目錄 vi
表目錄 vii
第一章緒論 1
第二章文獻回顧 3
2.1 非期望產出弱可棄置性的資料包絡分析法(DEA) 3
2.2 納許均衡資料包絡分析法(Nash DEA) 3
2.3 隨機半無母數資料包絡法(StoNED) 4
2.4 汙染排放權配置模型 5
2.5 航空產業的績效評估 6
第三章研究方法 7
3.1 數學符號定義 7
3.2 生產可能集合 8
3.3納許均衡對應於生產可能集合 8
3.4 納許均衡資料包絡分析碳排放權配置模型(Nash DEA ACP) 9
3.5 隨機半無母數資料包絡分析(StoNED) 13
3.6 CNLS組合誤差項 14
3.7 估計期望無效率項 15
3.8 納許均衡隨機半無母數資料包絡碳排放權配置模型(Nash StoNED ACP) 15
第四章範例測試 19
4.1 資料蒐集與反需求函數公式推算 19
4.2 結果分析與比較 20
第五章結論與建議 26
5.1 結論 26
5.2 建議 26
參考文獻 28
附錄一研究資料 30
附錄二集中化資料包絡分析法 32
附錄三非期望產出導向技術效率分析 33
附錄四集中化 DEA敏感度分析 34

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指導教授

陳惠國

審核日期

2020-8-19

推文